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Pigidiy
2025-06-01 22:35:20 +06:00
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MIT License
Copyright (c) 2025 Pigidiy
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the “Software”), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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# ComfyUI-LikeSpiderAI-SaveMP3
🎧 A custom ComfyUI node that saves input AUDIO as `.mp3` using `ffmpeg`.
## Features
- Saves `.mp3` to `output/audio/`
- Selectable bitrate: 64 / 128 / 192 / 256 / 320 kbps
- Works with any node that outputs `AUDIO`
- No UI hacks or extra files
## Requirements
- Python ≥ 3.10
- ffmpeg (must be installed and available in PATH)
## Installation
Clone this repository into your `ComfyUI/custom_nodes` directory:
```bash
cd ComfyUI/custom_nodes
git clone https://github.com/Pigidiy/ComfyUI-LikeSpiderAI-SaveMP3.git
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import os
import subprocess
import shutil
from pathlib import Path
import numpy as np
import torch
import folder_paths
from scipy.io.wavfile import write
class SaveAudioAsMP3:
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"audio": ("AUDIO",),
"bitrate_kbps": ([64, 128, 192, 256, 320], {"default": 192}),
}
}
RETURN_TYPES = ("AUDIO",)
RETURN_NAMES = ("audio",)
FUNCTION = "save_as_mp3"
OUTPUT_NODE = True
CATEGORY = "LikeSpiderAI"
def save_as_mp3(self, audio, bitrate_kbps):
if not shutil.which("ffmpeg"):
raise Exception("❌ ffmpeg not found. Please install and add to PATH.")
# Extract waveform
samples = audio["waveform"]
if isinstance(samples, torch.Tensor):
samples = samples.detach().cpu().numpy()
if samples.ndim == 3 and samples.shape[0] == 1:
samples = samples[0]
max_val = np.max(np.abs(samples))
if max_val > 1.0:
samples = samples / max_val
samples = np.clip(samples, -1.0, 1.0)
audio_int16 = (samples * 32767).astype(np.int16)
if audio_int16.ndim == 2 and audio_int16.shape[0] in [1, 2]:
wav_data = audio_int16.T
elif audio_int16.ndim == 1:
wav_data = audio_int16
else:
raise Exception(f"❌ Unsupported audio shape: {audio_int16.shape}")
# Save as .mp3 in output/audio
output_dir = Path(folder_paths.get_output_directory()) / "audio"
output_dir.mkdir(parents=True, exist_ok=True)
existing = sorted(output_dir.glob("audio_*.mp3"))
index = len(existing)
mp3_path = output_dir / f"audio_{index:05d}.mp3"
# Save .wav temporarily for ffmpeg conversion
temp_wav = output_dir / "temp_input.wav"
write(temp_wav, 44100, wav_data)
subprocess.run([
"ffmpeg", "-y", "-i", str(temp_wav),
"-codec:a", "libmp3lame", "-b:a", f"{bitrate_kbps}k",
str(mp3_path)
], check=True)
os.remove(temp_wav)
print(f"[SaveAudioAsMP3] ✅ MP3 saved: {mp3_path}")
# Return original audio to enable UI preview (if possible)
return (audio,)
NODE_CLASS_MAPPINGS = {
"SaveAudioAsMP3": SaveAudioAsMP3
}
NODE_DISPLAY_NAME_MAPPINGS = {
"SaveAudioAsMP3": "Save Audio As MP3"
}
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{
"name": "ComfyUI-LikeSpiderAI-SaveMP3",
"author": "Pigidiy",
"version": "1.0",
"description": "Save AUDIO to .mp3 in ComfyUI with bitrate selection and ffmpeg conversion.",
"python_version": ">=3.10"
}